CN108802570A - A kind of fault detection system and detection method for alternating current-direct current series-parallel connection micro-capacitance sensor - Google Patents
A kind of fault detection system and detection method for alternating current-direct current series-parallel connection micro-capacitance sensor Download PDFInfo
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- CN108802570A CN108802570A CN201810621593.1A CN201810621593A CN108802570A CN 108802570 A CN108802570 A CN 108802570A CN 201810621593 A CN201810621593 A CN 201810621593A CN 108802570 A CN108802570 A CN 108802570A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
- Y04S10/52—Outage or fault management, e.g. fault detection or location
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- General Physics & Mathematics (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Testing Of Short-Circuits, Discontinuities, Leakage, Or Incorrect Line Connections (AREA)
Abstract
The invention discloses a kind of fault detection systems and detection method for alternating current-direct current series-parallel connection micro-capacitance sensor, it includes exchange micro-capacitance sensor and direct-current grid, exchange micro-capacitance sensor is connect with direct-current grid by AC/DC modules, exchange micro-capacitance sensor is connect with exchange detection unit, direct-current grid is connect with DC detecting unit, exchanges detection unit and DC detecting unit is connect with comprehensive detection unit；The detection method includes：Step 1 establishes the alternating current-direct current series-parallel connection micro-capacitance sensor Fault Model based on deep learning；Step 2 is based on Fault Model, and online fault detect is carried out to alternating current-direct current series-parallel connection micro-capacitance sensor；Solve the problems, such as that protection scheme is complicated in the prior art, depends critically upon the network structure of micro-capacitance sensor and the operational mode of distributed generation resource.
Description
Technical field
The invention belongs to the technical field of protecting electrical power system more particularly to a kind of events for alternating current-direct current series-parallel connection micro-capacitance sensor
Hinder detecting system and detection method.
Background technology
Micro-capacitance sensor is divided into from operational mode to be incorporated into the power networks and islet operation inherently draws when micro-grid connection is run
It plays power distribution network size of current, direction and distribution to change, adverse effect then is brought to power distribution network relay protection, may cause
Malfunction, tripping and the sensitivity decrease of original protection.Micro-capacitance sensor includes electronic power convertor, synchronous motor, asynchronous machine etc.
A variety of distributed generation resources, when failure occurs, the short circuit current that different types of distributed generation resource is capable of providing also differs, wherein
Electronic power convertor can about provide rated current 2 times of overcurrents, synchronous motor and asynchronous machine be capable of providing 4-10 times it is specified
The short circuit current of electric current, meanwhile, in micro-capacitance sensor islet operation, the service condition and operation topology of micro-capacitance sensor can be according to operation fields
Scape demand has the characteristic of electric current two-way flow to the variation of generation, part distributed generation resource, this makes in the same failure
The fault current of point short circuit current under different Run-time scenarios is widely different, so that traditional protection based on fixed value adjusting
Scheme fails.Therefore the protection scheme in micro-capacitance sensor is generally the operating mode for enumerating topology operation and trend operation, configures more sets and protects
Definite value is protected, to realize the protection between micro-capacitance sensor and power distribution network；However alternating current-direct current series-parallel connection micro-capacitance sensor is comprising exchange micro-capacitance sensor and directly
Micro-capacitance sensor is flowed, the multidirectional stream of the energy caused by the multidirectional flowing of energy and the diversity of operation reserve between AC and DC micro-capacitance sensor
It is dynamic so that the network structure of alternating current-direct current series-parallel connection micro-capacitance sensor and the operational mode type of distributed generation resource are various, protection scheme and guarantor
Shield configuration becomes impossible mission, and protection scheme is complicated in the prior art, depends critically upon the network knot of micro-capacitance sensor
The problems such as operational mode of structure and distributed generation resource.
Invention content：
The technical problem to be solved in the present invention：A kind of fault detection system for alternating current-direct current series-parallel connection micro-capacitance sensor and inspection are provided
Survey method, to solve to be directed to the operational mode type of alternating current-direct current series-parallel connection micro-capacitance sensor network structure and distributed generation resource in the prior art
Various, protection scheme and relaying configuration become impossible mission, in the prior art protection scheme complexity, heavy dependence
In micro-capacitance sensor network structure and distributed generation resource operational mode the problems such as
Technical solution of the present invention：
A kind of fault detection system for alternating current-direct current series-parallel connection micro-capacitance sensor, it includes exchanging micro-capacitance sensor and direct-current grid,
Exchange micro-capacitance sensor is connect with direct-current grid by AC/DC modules, and exchange micro-capacitance sensor is connect with exchange detection unit, DC micro-electric
Net is connect with DC detecting unit, exchanges detection unit and DC detecting unit is connect with comprehensive detection unit.
The detection method of the fault detection system for alternating current-direct current series-parallel connection micro-capacitance sensor, it includes：
Step 1 establishes the alternating current-direct current series-parallel connection micro-capacitance sensor Fault Model based on deep learning；
Step 2 is based on Fault Model, and online fault detect is carried out to alternating current-direct current series-parallel connection micro-capacitance sensor.
The method of alternating current-direct current series-parallel connection micro-capacitance sensor Fault Model of the foundation based on deep learning described in step 1 includes：
Step 1.1 acquires ac bus under normal and fault condition, the alternating voltage at AC power distribution line switch and friendship
Galvanic electricity galvanic electricity tolerance signal；DC bus under acquisition is normal and fault condition, the DC voltage at DC power distribution line switch and
Current electrical amount signal；
Step 1.2 carries out the electrical quantity signal of acquisition processing pretreatment, extracts corresponding substantially electrical measure feature, and
Generate training sample；
Step 1.3 is based on training sample, and Fault Model is established using deep learning mode.
The electrical quantity signal of pair acquisition described in step 1.2 carries out processing pretreatment, extracts corresponding substantially electrical measure feature,
And the method for generating training sample is：Electrical quantity is pre-processed using Fast Fourier Transform (FFT) method, it is supreme to calculate fundamental wave
Subharmonic phasor, phasor include the amplitudes of voltage and current signals, phase angle, frequency, active power, reactive power, negative sequence voltage
And negative-sequence current；Then according to each secondary corresponding change rate of phasor calculation for calculating gained, as substantially electrical measure feature；It establishes
Mapping relations between frequency, amplitude and the basic electrical measure feature and fault type of phase calculation, as training sample.
It is based on Fault Model described in step 2, the method packet of online fault detect is carried out to alternating current-direct current series-parallel connection micro-capacitance sensor
It includes：
Step 2.1, exchange detection unit acquisition ac bus, alternating voltage and alternating current at AC power distribution line switch
Galvanic electricity tolerance；DC voltage at DC detecting unit acquisition DC bus, DC power distribution line switch and current electrical amount；
Step 2.2, exchange detection unit and DC detecting unit respectively pre-process the electrical quantity of acquisition, extract base
This electrical measure feature, and it is uploaded to comprehensive detection unit；
Step 2.3, comprehensive detection unit carry out failure inspection according to the basic electrical measure feature of Fault Model and extraction
It surveys.
Beneficial effects of the present invention：
The present invention is by acquisition historical failure data, or emulates all kinds of failures of alternating current-direct current series-parallel connection micro-capacitance sensor, acquisition
Electrical quantity extracts substantially electrical measure feature, using the method for deep learning to basic electrical relationship between measure feature and failure
It is modeled, it is simple and practical to realize the fault distinguishing based on relationship between electrical quantity and failure；It solves and protects in the prior art
The problem of shield scheme complexity, operational mode of the network structure and distributed generation resource that depend critically upon micro-capacitance sensor, have stronger
Adaptability and practicability.
Description of the drawings：
Fig. 1 is alternating current-direct current series-parallel connection micro-capacitance sensor fault detection system structural schematic diagram of the present invention；
Fig. 2 is that the present invention generates Fault Model schematic diagram；
Fig. 3 is the online fault detect block diagram of the present invention.
Specific implementation mode：
A kind of fault detection system and detection method for alternating current-direct current series-parallel connection micro-capacitance sensor, it is including exchange micro-capacitance sensor and directly
Micro-capacitance sensor is flowed, exchange micro-capacitance sensor is connect with direct-current grid by AC/DC modules, and exchange micro-capacitance sensor connects with detection unit is exchanged
It connects, direct-current grid is connect with DC detecting unit, exchanges detection unit and DC detecting unit is connect with comprehensive detection unit.
Specific implementation step is as follows：
Step 1, the alternating current-direct current series-parallel connection micro-capacitance sensor Fault Model based on deep learning is established：
Step 1.1, acquisition normally and fault condition under ac bus, AC power distribution line switch etc. alternating voltage,
The electrical quantity signals such as DC voltage, the electric current of alternating current, DC bus, DC power distribution line switch etc..Electrical quantity signal
Source include the history recorder data of actual field acquisition and using simulation software to alternating current-direct current mixing micro-capacitance sensor typical condition and
Typical fault carries out the data of emulation acquisition.
Step 1.2, electrical quantity is pre-processed using Fast Fourier Transform (FFT) method, calculates fundamental wave to (can compared with high order
Chosen as needed, be generally set to 20 to 40) harmonic phasor, including the amplitude of voltage and current signals, phase angle, frequency,
Active power, reactive power, negative sequence voltage, negative-sequence current etc.；Then become accordingly according to each secondary phasor calculation for calculating gained
Rate, as substantially electrical measure feature；Establish the calculating such as frequency, amplitude, phase angle basic electrical measure feature and fault type it
Between mapping relations, as training sample.When training samples number is less, acquired training sample can be based on using generation
Network technology is fought, a large amount of training samples are generated.
Step 1.3, it is based on training sample, Fault Model is established using depth learning technology.
Step 2, it is based on Fault Model, online fault detect is carried out to alternating current-direct current series-parallel connection micro-capacitance sensor：
Step 2.1, the alternating voltage of exchange detection unit acquisition ac bus, AC power distribution line switch etc., exchange
The electrical quantity such as electric current；DC detecting unit acquires the electricity such as the DC voltage, electric current of DC bus, DC power distribution line switch etc.
Tolerance；
Step 2.2, it exchanges detection unit and DC detecting unit respectively pre-processes the electrical quantity of acquisition, extract base
This electrical measure feature, and on give comprehensive detection unit；
Step 2.3, comprehensive detection unit is based on Fault Model and substantially electrical measure feature, carries out fault detect.
Claims (5)
1. a kind of fault detection system for alternating current-direct current series-parallel connection micro-capacitance sensor, it includes exchange micro-capacitance sensor and direct-current grid, is handed over
Stream micro-capacitance sensor is connect with direct-current grid by AC/DC modules, it is characterised in that：Exchange micro-capacitance sensor connects with detection unit is exchanged
It connects, direct-current grid is connect with DC detecting unit, exchanges detection unit and DC detecting unit is connect with comprehensive detection unit.
2. the detection method for the fault detection system of alternating current-direct current series-parallel connection micro-capacitance sensor as described in claim 1, it includes：
Step 1 establishes the alternating current-direct current series-parallel connection micro-capacitance sensor Fault Model based on deep learning；
Step 2 is based on Fault Model, and online fault detect is carried out to alternating current-direct current series-parallel connection micro-capacitance sensor.
3. the detection method of the fault detection system according to claim 2 for alternating current-direct current series-parallel connection micro-capacitance sensor, feature
It is：The method of alternating current-direct current series-parallel connection micro-capacitance sensor Fault Model of the foundation based on deep learning described in step 1 includes：
Step 1.1 acquires ac bus under normal and fault condition, alternating voltage and alternating current at AC power distribution line switch
Galvanic electricity tolerance signal；Acquire DC bus under normal and fault condition, DC voltage and electric current at DC power distribution line switch
Electrical quantity signal；
Step 1.2 carries out the electrical quantity signal of acquisition processing pretreatment, extracts corresponding substantially electrical measure feature, and generate
Training sample；
Step 1.3 is based on training sample, and Fault Model is established using deep learning mode.
4. the detection method of the fault detection system according to claim 3 for alternating current-direct current series-parallel connection micro-capacitance sensor, feature
It is：The electrical quantity signal of pair acquisition described in step 1.2 carries out processing pretreatment, extracts corresponding substantially electrical measure feature, and
Generate training sample method be：Electrical quantity is pre-processed using Fast Fourier Transform (FFT) method, calculates fundamental wave to high order
Harmonic phasor, phasor include the amplitudes of voltage and current signals, phase angle, frequency, active power, reactive power, negative sequence voltage and
Negative-sequence current；Then according to each secondary corresponding change rate of phasor calculation for calculating gained, as substantially electrical measure feature；Establish frequency
Mapping relations between rate, amplitude and the basic electrical measure feature and fault type of phase calculation, as training sample.
5. the detection method of the fault detection system according to claim 2 for alternating current-direct current series-parallel connection micro-capacitance sensor, feature
It is：Fault Model is based on described in step 2, the method for carrying out online fault detect to alternating current-direct current series-parallel connection micro-capacitance sensor includes：
Step 2.1, exchange detection unit acquisition ac bus, alternating voltage and alternating current galvanic electricity at AC power distribution line switch
Tolerance；DC voltage at DC detecting unit acquisition DC bus, DC power distribution line switch and current electrical amount；
Step 2.2, exchange detection unit and DC detecting unit respectively pre-process the electrical quantity of acquisition, and extraction is substantially electric
Tolerance feature, and it is uploaded to comprehensive detection unit；
Step 2.3, comprehensive detection unit carry out fault detect according to the basic electrical measure feature of Fault Model and extraction.
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| CN112152190A (en) * | 2019-06-28 | 2020-12-29 | 北京天诚同创电气有限公司 | Micro-grid interphase short-circuit fault protection method and system |
| CN112582992A (en) * | 2019-09-29 | 2021-03-30 | 北京天诚同创电气有限公司 | Direct-current micro-grid branch linkage control system and method |
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